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Shelbygan (Pre-Alpha)

Shelbygan (Pre-Alpha)

A Roblox experience owned by Orange Eater inc..

RoleplayENroleplaycityvehicles

Description (written by the developer; not a statement by this register)

Welcome to Shelbygan, a game where your dreams come to truth. We may not be the best out their, but we will soon. And I will tell you why. ⚠️PLEASE NOTE THAT ONE OF THE NEIGHBORHOODS CURRENTLY DO NOT HAVE A DOOR CLAIMING SYSTEM. ⚠️ This game is inspired by greenville, however completely different. We will add a big map in the future, many cars/motorcycles, and even Emergency Services. We currently do not have a car buying feature, which will be added very soon. I just wanted to say one thing. This game is created by very few devolpers, and I want to give huge credit to beachcallmedad, and GagBoi12.

Last updated by the developer 24 Jun 2026, 19:31 UTC.

0
playing (measured 25 Aug 2026, 06:45 UTC)
346
lifetime visits
100%
liked (7 👍 / 0 👎)
0
favourites
21 January 2025
created (per Roblox)

Play on Roblox →

Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
25 Aug 2026, 06:450first reading

Concurrent players at each of our measurements (insert-on-change).

Monetization — game passes

SuperCar GamePass
499 R$
SWAT Gamepass
399 R$
test2
30 R$
Radio
19 R$

Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.

Badge funnel

Beta Tester · other44 · 0.00% win
You've submitted an GamePass request! · other8 · 0.00% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.